Description
Check a supplied result code against disjoint indeterminate and missing lists.
Statistical record calculations depend on risk-set boundaries, cluster assumptions, missingness codes and exposure definitions. Entry can be excluded while exit inclusion is a policy choice, and one design-effect formula assumes equal cluster sizes. A local flag or contribution does not fit a model or establish a clinical result.
Check a supplied result code against disjoint indeterminate and missing lists.
When to use this tool
Use Diagnostic Indeterminate Result Flag when you already have resultCode, indeterminateCodes, missingCodes and need to check a supplied result code against disjoint indeterminate and missing lists.
How to use the tool and how it works
- Enter resultCode, indeterminateCodes, missingCodes. Follow any array-alignment requirements below. Use the units and conventions below.
- Run the tool. Correct any format, range, or cross-field input error before interpreting the output.
- Read indeterminate, missing. Inspect indeterminate, missing before interpreting the associated values.
Require the lists not overlap; return literal membership in each independently.1
| Input field | Meaning and units | Accepted input |
|---|---|---|
| resultCode | Result Code | Required. Text; maximum UTF-16 length 8192. |
| indeterminateCodes | Indeterminate Codes | Required. Array of text; maximum UTF-16 length 8192; maximum items 256. |
| missingCodes | Missing Codes | Required. Array of text; maximum UTF-16 length 8192; maximum items 256. |
| Output field | Interpretation | Returned shape |
|---|---|---|
| indeterminate | Literal membership in the supplied indeterminate vocabulary; unknown is not automatically a negative result. | Required. Boolean. |
| missing | Missing | Required. Boolean. |
{
"input": {
"resultCode": "I",
"indeterminateCodes": [
"I",
"EQ"
],
"missingCodes": [
"NA"
]
},
"output": {
"indeterminate": true,
"missing": false
}
}Limitations and assumptions
- Empty codes and duplicates are allowed if disjoint. Unknown codes set both false; this does not mean a determinate negative result or clinical finding.
- Inputs must satisfy both the field types and the cross-field conditions above. Invalid input causes an error; a successful false flag or documented placeholder is a different result.
Alternative or Complementary methods
Use the complete study design, data and statistical model for inference. Check censoring, clustering, visit windows, exposure and missingness conventions before combining these terms, and assess uncertainty with the full analysis.
References
Similar or alternative tools
- Event Censoring Status Token
Map supplied event/end flags to event, censored or ongoing status.
- Diagnostic Verification Status Tag
Label a diagnostic record's supplied verification status.